Overview
Considering migrating your generative AI deployments from Google Gemini to Amazon Bedrock? Our Migration Assessment offers actionable insights backed by comprehensive analysis. Chaos Gears' seasoned architects and machine learning specialists examine your existing Gemini use cases - including specialized functionalities like multimodal interactions, embeddings, and prompt orchestration - then carefully map these to appropriate Amazon Bedrock models (such as Claude 4 Opus, Claude 3.7, and Amazon Nova). We quantify and clearly illustrate the business value, cost implications, and compliance considerations of migrating your generative AI workloads to Bedrock.
You’ll receive a step-by-step transition roadmap, concrete code examples using AWS SDKs like boto3 and LiteLLM, and a thoroughly vetted recommendation to guide your final decision: confidently migrate or maintain your current configuration.
This clarity is delivered through a structured four-phase process:
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Kick-off Session
We collaboratively define migration objectives, success benchmarks, regional deployments, security and compliance criteria, and timelines for key decisions. -
Comprehensive Analysis
Your technical team guides us through existing model interactions, embedding usage, prompt strategies, logging setups, throughput statistics, cost structures, and regulatory mandates. Data collection (with your approval) further refines the evaluation. -
Migration Strategy Blueprint
Chaos Gears carefully aligns Gemini capabilities with the most suitable Amazon Bedrock models and associated AWS tools.
Deliverables include:
- Comparative analysis (performance accuracy, response latency, token usage)
- Customized cost projections based on actual workload data
- Sample refactoring examples demonstrating AWS-native integration
- Executive Presentation & Detailed Report We present a succinct executive summary, actionable findings, and detailed technical documentation, including:
- Recommended Bedrock models and rationale
- Cost-benefit analysis
- Step-by-step migration guidance with code snippets
- Potential migration risks and mitigation measures
- Optional detailed Statement of Work (SoW) for full migration support
Typical engagements span 2-3 weeks, culminating in a comprehensive, evidence-based report enabling clear decision-making.
Highlights
- Objective decision support: thorough comparative analysis covering costs, performance, and compliance, ensuring clarity on when migration to Bedrock benefits your business - or when it doesn’t.
- Streamlined four-phase assessment - Kick-off, Analysis, Blueprint, Executive Summary - delivers detailed insights without the immediate commitment to a full migration.
- Proven expertise: Chaos Gears has successfully implemented over 50 GenAI projects on AWS, including highly regulated environments prioritizing data residency and compliance.
Details
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